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Learn Python Coding

Learn Python Coding

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Learn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho

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πŸ“ˆ Analytical overview of Telegram channel Learn Python Coding

Channel Learn Python Coding (@pythonre) in the English language segment is an active participant. Currently, the community unites 40 895 subscribers, ranking 3 309 in the Technologies & Applications category and 9 131 in the India region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 40 895 subscribers.

According to the latest data from 12 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 88 over the last 30 days and by 8 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 1.87%. Within the first 24 hours after publication, content typically collects 0.89% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 763 views. Within the first day, a publication typically gains 362 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
  • Thematic interests: Content is focused on key topics such as math, harvard, oxford, supervision, waybienad.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œLearn Python through simple, practical examples and real coding ideas. Clear explanations, useful snippets, and hands-on learning for anyone starting or improving their programming skills. Admin: @HusseinSheikho || @Hussein_Sheikho”

Thanks to the high frequency of updates (latest data received on 13 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.

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40 895
Subscribers
+824 hours
+57 days
+8830 days
Posts Archive
Learning SQL, Third Edition Share with your friends and colleagues 🌹🌹 @DataScience_Books

Learning SQL, Third Edition πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Learning SQL, Third Edition πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

⬇️ Pysentimiento: A Python toolkit for Sentiment Analysis and Social NLP tasks Github: https://github.com/pysentimiento/pysen
⬇️ Pysentimiento: A Python toolkit for Sentiment Analysis and Social NLP tasks Github: https://github.com/pysentimiento/pysentimiento Paper: https://arxiv.org/abs/2106.09462 English model: https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis Share with your friends and colleagues 🌹🌹 @DataScience_Books

Machine Learning cheatsheet (very important) https://t.me/CodeProgrammer

RoadMap: Machine Learning https://t.me/CodeProgrammer

RoadMap: Porbability and Statistics https://t.me/CodeProgrammer

RoadMap: NLP Based On Deep Learning https://t.me/CodeProgrammer

RoadMap: Text Mining (NLP Background) https://t.me/CodeProgrammer

Machine learning in cognitive IoT Share with your friends and colleagues 🌹🌹 @DataScience_Books

Machine learning in cognitive IoT Authors: Kumar, Neeraj; Makkar, Aaisha Year: 2020 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Machine learning in cognitive IoT Authors: Kumar, Neeraj; Makkar, Aaisha Year: 2020 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Create Model in Django - Tutorial for Beginners https://dev.to/sm0ke/create-model-django-1536 Share with your friends and colleagues 🌹🌹 @DataScience_Books

Deep Learning with Python MEAP Share with your friends and colleagues 🌹🌹 @DataScience_Books Python English Group: @Python202

Deep Learning with Python MEAP Authors: Francois Chollet Edition: 2 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Deep Learning with Python MEAP Authors: Francois Chollet Edition: 2 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Deep Learning A Visual Approach [2021] Andrew Glassner Share with your friends and colleagues 🌹🌹 @DataScience_Books

Deep Learning A Visual Approach [2021] Andrew Glassner πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
Deep Learning A Visual Approach [2021] Andrew Glassner πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡

Hands-On Simulation Modeling with Python - 2020 Share with your friends and colleagues 🌹🌹 @DataScience_Books

Hands-On Simulation Modeling with Python - 2020 πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
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Deep Transfer Learning on PyTorch Github: https://github.com/easezyc/deep-transfer-learning Paper: https://arxiv.org/abs/2106.09388v1 Invite your friends 🌹🌹 @DataScience_Books

Deep Learning and Physics Invite your friends 🌹🌹 @DataScience_Books